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010 a| 2022011250;

020 a| 9781000643084q| (epub);

020 a| 9781003256328q| (ebk);

020 z| 9781032187426q| (hbk);

020 z| 9781032188058q| (pbk);

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100 1 a| Wang, Lilyc| (Professor of Statistics)?| UNAUTHORIZED;

245 10 a| Data science for infectious disease data analyticsh| [electronic resource] :b| an introduction with R /c| Lily Wang.;

250 a| First edition.;

260 a| Boca Raton ;a| London :b| CRC Press,c| 2023.;

300 a| 1 online resource;

490 0 a| Chapman & Hall/CRC data science series;

504 a| Includes bibliographical references and index.;

506 a| Available only to authorized users.;

520 a| "Data Science for Infectious Disease Data Analytics: An Introduction with R provides an overview of modern data science tools and methods that have been developed specifically to analyze infectious disease data. With a quick start guide to epidemiological data visualization and analysis in R, this book spans the gulf between academia and practices providing many lively, instructive data analysis examples using the most up-to-date data, such as the newly discovered coronavirus disease (COVID-19). The primary emphasis of this book will be the data science procedure in epidemiological studies, including data wrangling, visualization, interpretation, predictive modeling, and inference, which is of immense importance due to increasingly diverse and nonexperimental data across a wide range of fields. The knowledge and skills readers gain from this book are also transferable to other areas, such as public health, business analytics, environmental studies, or spatio-temporal data visualization and analysis in general. Aimed at readers with an undergraduate knowledge of mathematics and statistics, this book is an ideal introduction to the development and implementation of data science in epidemiology"--c| Provided by publisher.;

538 a| Mode of access: World Wide Web;

588 a| Description based on print version record and CIP data provided by publisher.;

650 0 a| Epidemiologyx| Statistical methods.=| ^A305002;

650 0 a| Epidemiologyx| Data processing.=| ^A687;

650 0 a| R (Computer program language)=| ^A523882;

655 0 a| Electronic books.=| ^A491897;

856 40 z| Full text available from Taylor & Francis eBooksu| https://go.openathens.net/redirector/ecu.edu?url=https%3A%2F%2Fwww.taylorfrancis.com%2Fbooks%2F9781003256328;

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Data science for infectious disease data analytics an introduction with R / Lily Wang.

Author/creator	Wang, Lily
Format	Electronic
Edition	First edition.
Publication Info	Boca Raton ; London : CRC Press, 2023.
Description	1 online resource
Supplemental Content	Full text available from Taylor & Francis eBooks
Subjects	Epidemiology--Statistical methods. Epidemiology--Data processing. R (Computer program language)

Series	Chapman & Hall/CRC data science series
Abstract	"Data Science for Infectious Disease Data Analytics: An Introduction with R provides an overview of modern data science tools and methods that have been developed specifically to analyze infectious disease data. With a quick start guide to epidemiological data visualization and analysis in R, this book spans the gulf between academia and practices providing many lively, instructive data analysis examples using the most up-to-date data, such as the newly discovered coronavirus disease (COVID-19). The primary emphasis of this book will be the data science procedure in epidemiological studies, including data wrangling, visualization, interpretation, predictive modeling, and inference, which is of immense importance due to increasingly diverse and nonexperimental data across a wide range of fields. The knowledge and skills readers gain from this book are also transferable to other areas, such as public health, business analytics, environmental studies, or spatio-temporal data visualization and analysis in general. Aimed at readers with an undergraduate knowledge of mathematics and statistics, this book is an ideal introduction to the development and implementation of data science in epidemiology"-- Provided by publisher.
Bibliography note	Includes bibliographical references and index.
Access restriction	Available only to authorized users.
Technical details	Mode of access: World Wide Web
Source of description	Description based on print version record and CIP data provided by publisher.
Issued in other form	Print version: Wang, Lily Data science for infectious disease data analytics First edition. Boca Raton ; London : CRC Press, 2023 9781032187426
Genre/form	Electronic books.
LCCN	2022011250
ISBN	9781000643084 (epub)
ISBN	9781003256328 (ebk)
ISBN	(hbk)
ISBN	(pbk)

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